Automatic Matching for Frame Images of Area Remote Sensing

Abstract:

Automatic matching for the frame images of the navigation area is urgent and challenging work, especially without the help of external and internal camera parameters. By the auto-match engine between the image pairs, a method of automatic generation of the topology and matching algorithm is proposed, in which, the transform relation between the overlapped image pair, the transfer of the global topology, the relationship between the image pair and the global topology, the aided matching by the global transformation, and the generation of the overall topology relationship are introduced in detail. Experiments show the correctness and efficiency of our method.

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 4529-4534
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.4529
• Online since: February 2014
• Authors: Ying Chun Li*, Sheng Yang, Shi Bing Zhu
• Keywords: Automatic Matching, Image Matching, Remote Sensing, Topology Generating

References

[1] Ke Tao, Zhang YongJun. The application of SIFT features in the automatic matching for low altitude aerial images[J]. Science of Surveying and Mapping. 2009, 34(4): 23-26.

[2] B. Hemery,H. Laurent,B. Emile, etc. Comparative Study Of Local Descriptors For Measuring Object Taxonomy. Fifth International Conference on Image and Graphics. 2009. 38. 276-281.

DOI: 10.1109/icig.2009.38

[3] D.G. Lowe, Distinctive image features from scale-invariant keypoint, Computer Vision(2004) 91-110.

DOI: 10.1023/b:visi.0000029664.99615.94

[4] Yang Sheng, Li XueJun, Liu Tao, etc. A Review on Matching and Similarity Measures for High Resolution Remote Sensing Imagery[J]. Geomatics & Spatial Information Technology, 2013, 36(5): 16-25.

[5] CHENG Liang, GONG Jianya, HAN Peng, etc. Automatic Optimization for Affine Invariant Feature M atching on Remote Sensing Imagery[J]. Geomatics and Information Science of Wuhan University. 2009, 34(4): 418-422.

[6] LIN Zongjian, XUAN Wenling, WANG Yan. A Novel M ethod for High Resolution Image Positioning[J]. Geomatics and Information Science of W uhan University. 2004, 29(4): 363-366.

[7] ZHAO Fei, HU Xin, GUAN ZeQu, etc. Study of automatic matching technology of image points for three line array CCD imaging[J]. Science of Surveying and Mapping. 2008. 33(4): 12-14.

[8] Albarelli A, Rodolà E, Torsello A. Imposing Semi-Local geometric constraints for accurate correspondences selection in structure from motion: A Game-Theoretic perspective[J]. International journal of computer vision, 2012, 97(1): 36-53.

DOI: 10.1007/s11263-011-0432-4

[9] Yang Sheng, LI Xuejun. Study of Auto-matching Engine Algorithm for High Resolution Remote Sensing Images [J]. Journal of Academy of Equipment. 2013. 24(1): 92-97.

[10] Yang Sheng, Li Xuejun. Automatic Matching for High Resolution Remote Sensing Images of Large Terrain Based on SURF Algorithm[J]. Geomatics & Spatial Information Technology. 2012, 35(12): 23-26.

[11] Zhu Shibing, Yang Sheng, et al. A Parallel Framework for Automatic Matching for High Resolution Imagery with Large Size[J], Applied Mechanics and Materials, 2013, 333-335: 811-816.

DOI: 10.4028/www.scientific.net/amm.333-335.811

[12] Yang Sheng, Li Xuejun, Wang Jue. Continuous Scale Multi-change Detecting Quasi-dense Matching for Epipolar Resample Images [J]. Computor technology and Development. 2013, 23(4): 111-114.